Killed resolvents and measure-valued stopping gains for reflected optimal stopping with max-type rewards

Abstract: We study an infinite-horizon optimal stopping problem for a normally reflected two-dimensional diffusion in the positive quadrant with nonsmooth max-type reward (G(x_1,x_2)=x_1\vee αx_2). The paper develops a conditional measure-theoretic framework for the associated reflected obstacle problem. The main innovation is to show that the stopping gain (Γ=c+rG-\mathcal LG) is a signed measure, not a function: the kink of (G) generates an explicit negative surface measure on (Δ={x_1=αx_2}). We then prove that the correct potential representation uses the resolvent of the reflected diffusion killed on first entry into the stopping set, rather than the unrestricted reflected resolvent. Under explicit monotonicity, regularity, and measure-superharmonicity assumptions, we derive an epigraph representation, a continuation-side boundary-trace condition, and a candidate verification theorem. The framework clarifies hidden regularity and uniqueness assumptions in multidimensional nonsmooth optimal stopping.